|
--- |
|
license: apache-2.0 |
|
datasets: |
|
- ivrit-ai/crowd-transcribe-v5 |
|
language: |
|
- he |
|
base_model: |
|
- openai/whisper-large-v3-turbo |
|
--- |
|
|
|
This is ivrit.ai's faster-whisper model, based on the ivrit-ai/whisper-large-v3-turbo Whisper model. |
|
|
|
Training data includes 295 hours of volunteer-transcribed speech from the ivrit-ai/crowd-transcribe-v5 dataset, as well as 93 hours of professional transcribed speech from other sources. |
|
|
|
Release date: TBD |
|
|
|
# Prerequisites |
|
|
|
pip3 install faster_whisper |
|
|
|
# Usage |
|
|
|
``` |
|
import faster_whisper |
|
model = faster_whisper.WhisperModel('ivrit-ai/whisper-large-v3-turbo-ct2') |
|
|
|
segs, _ = model.transcribe('media-file', language='he') |
|
|
|
texts = [s.text for s in segs] |
|
|
|
transcribed_text = ' '.join(texts) |
|
print(f'Transcribed text: {transcribed_text}') |
|
``` |
